The Role: 

The Demand Planning team at Entegris is seeking a talented individual who is passionate about designing, implementing, and operating analytical solutions that improve forecast accuracy, drive data-driven decision making, and enable superior service to our customers. This role plays a critical part in transforming demand planning capabilities by turning complex data into actionable insights that support business growth, operational efficiency, and supply chain resilience. 

In this role you will: 

• Develop, enhance, and maintain statistical forecasting models to improve demand forecast accuracy over an 18-month planning horizon, leveraging R, Python, and Google Cloud Platform technologies.  

• Own and maintain forecast data and pricing information within SAP Integrated Business Planning (IBP), ensuring data integrity and alignment with business requirements.  

• Partner with Marketing and cross-functional stakeholders to develop, update, and refine market demand models using a combination of internal and external data sources. 

• Design, build, and deploy machine learning solutions that automate planning processes and improve operational efficiency.  

• Analyze large structured and unstructured datasets to identify trends, risks, opportunities, and actionable business insights.  

• Translate complex business challenges into scalable, robust, and sustainable analytical solutions through creative problem-solving and a deep understanding of data.  

• Develop dashboards, reports, and visualizations using tools such as Microsoft Power BI to effectively communicate insights and support data-driven decision-making.  

• Continuously evaluate and improve forecasting methodologies, planning processes, and analytical tools to deliver measurable business value.  

• Collaborate with Demand Planning, Supply Chain, Commercial, and IT teams to drive adoption of analytical solutions and best practices across the organization. 

Traits We Believe Make a Strong Candidate 

• Strong analytical and quantitative problem-solving skills, with the ability to transform complex data into actionable business insights. 

• Demonstrated expertise in time series forecasting, including univariate, multivariate, and ensemble modeling techniques. 

• Proficiency in Python and statistical modeling, with experience developing, deploying, and maintaining analytical and machine learning solutions. 

• Ability to work with large, complex datasets and leverage both structured and unstructured data to solve business problems. 

• Strong business acumen with the ability to connect analytical outputs to business outcomes and planning decisions. 

• Experience designing scalable, robust, and maintainable data and analytics solutions in a cloud environment. 

• Effective communication and storytelling skills, with the ability to present technical concepts and recommendations to both technical and non-technical audiences. 

• Strong collaboration skills and the ability to partner effectively across Demand Planning, Marketing, Supply Chain, IT, and Commercial teams. 

• Curiosity, creativity, and a continuous improvement mindset, with a passion for leveraging data and technology to drive business value. 

• Self-motivated and able to manage multiple priorities in a fast-paced, evolving environment. 

Qualifications 

• Bachelor's or Master's degree in Statistics, Mathematics, Data Science, Computer Science, or a related quantitative field. 

• 2+ years of experience developing analytical solutions using Python. 

• 2+ years of experience in time series forecasting, with a strong understanding of statistical forecasting techniques including univariate, multivariate, and ensemble models. 

• 2+ years of experience working with database technologies (SQL or similar), including data modeling, querying, and data management. 

• 1+ year of experience working in a cloud computing environment such as Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure. 

• 2+ years of experience developing dashboards and visualizations using Microsoft Power BI or similar business intelligence tools. 

• Experience with machine learning, predictive analytics, and forecasting applications within supply chain, demand planning, or related business functions is preferred. 

• Experience with SAP IBP or other advanced planning systems is considered an asset. 

Your success will be measured by: 

• Consistently delivering high-quality results with accountability, ownership, and integrity.  

• Proactively solving problems and contributing innovative ideas that improve business performance.  

• Building strong collaborative relationships and effectively communicating with stakeholders across the organization.  

• Demonstrating continuous learning and a commitment to improving processes, tools, and ways of working.  

• Driving data-driven decision-making through analytical rigor, innovation, and execution excellence.  

• Delivering measurable improvements in forecasting accuracy, planning effectiveness, and business outcomes.